a bg @sNddlmZmZmZmZddlmZddlmZm Z m Z GdddeeZ dS))AnyDictListOptional) Embeddings) BaseModel ConfigDictmodel_validatorc@seZdZUdZdZeeed<dZee ed<dZ eeed<iZ ee ed<e ed<ed d Zed d eee d ddZeeeeedddZeeedddZdS)GPT4AllEmbeddingsaGPT4All embedding models. To use, you should have the gpt4all python package installed Example: .. code-block:: python from langchain_community.embeddings import GPT4AllEmbeddings model_name = "all-MiniLM-L6-v2.gguf2.f16.gguf" gpt4all_kwargs = {'allow_download': 'True'} embeddings = GPT4AllEmbeddings( model_name=model_name, gpt4all_kwargs=gpt4all_kwargs ) N model_name n_threadscpudevicegpt4all_kwargsclient)Zprotected_namespacesbefore)mode)valuesreturncCsfzFddlm}|f|d|d|dd|dp:i|d<Wnty`td Yn0|S) z+Validate that GPT4All library is installed.r) Embed4Allr r r)r r rrrzuCould not import gpt4all library. Please install the gpt4all library to use this embedding model: pip install gpt4all)Zgpt4allrget ImportError)clsrrrrt/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/langchain_community/embeddings/gpt4all.pyvalidate_environment!s    z&GPT4AllEmbeddings.validate_environment)textsrcs fdd|D}dd|DS)zEmbed a list of documents using GPT4All. Args: texts: The list of texts to embed. Returns: List of embeddings, one for each text. csg|]}j|qSr)rZembed).0textselfrr @z5GPT4AllEmbeddings.embed_documents..cSsg|]}ttt|qSr)listmapfloat)rerrrr!Ar"r)r rZ embeddingsrrrembed_documents6s z!GPT4AllEmbeddings.embed_documents)rrcCs||gdS)zEmbed a query using GPT4All. Args: text: The text to embed. Returns: Embeddings for the text. r)r')r rrrr embed_queryCs zGPT4AllEmbeddings.embed_query)__name__ __module__ __qualname____doc__r rstr__annotations__r intrrdictrrZ model_configr classmethodrrrr%r'r(rrrrr s   r N) typingrrrrZlangchain_core.embeddingsrZpydanticrrr r rrrrs